Evidence map›Paper›PMID 36677127›Full record

ArticleMicromachines2022

CMOS-Compatible Ultralow-Loss Three-Step Silicon Edge Coupler with Substrate Substitution in the Whole Communication Band.

Zhen Wang, Jin Zhang, Lei Zhang, Xiaoke Ruan, Weijie Tang, Tao Chu

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhen WangResearch Institute of Intelligent Networks, Zhejiang Laboratory, Hangzhou 311100, China.ORCID 0000-0003-4426-8378
Jin ZhangResearch Institute of Intelligent Networks, Zhejiang Laboratory, Hangzhou 311100, China.
Lei ZhangResearch Institute of Intelligent Networks, Zhejiang Laboratory, Hangzhou 311100, China.ORCID 0000-0003-4386-2906
Xiaoke RuanResearch Institute of Intelligent Networks, Zhejiang Laboratory, Hangzhou 311100, China.
Weijie TangResearch Institute of Intelligent Networks, Zhejiang Laboratory, Hangzhou 311100, China.
Tao ChuResearch Institute of Intelligent Networks, Zhejiang Laboratory, Hangzhou 311100, China.

Funding

Zhejiang Lab 113011-AD1901
6 · The paper itself

Abstract

Edge coupler is a key component of silicon-based optoelectronic chips, which dramatically reduces the coupling loss between fibers and transmission waveguides. Here, we propose an ultralow-loss three-step silicon edge coupler based on a 130 nm CMOS process. By replacing the silicon substrate with a material with a lower refractive index than silicon oxide, the silicon leakage loss and polarization-dependent loss can be significantly improved. This structure avoids the existence of a cantilever, which enhances the mechanical strength of the edge coupler. Coupling with standard single-mode fiber, the simulation results demonstrate that the TE/TM mode has an ultralow loss of 0.63/1.08 dB at 1310 nm and 0.57/1.34 dB at 1550 nm, and the 0.5 dB bandwidth covering the entire communication band is about 400 nm. In the entire communication band, the polarization-dependent loss is less than 0.8 dB. Furthermore, we propose a taper shape design method based on mode analysis, which can be adapted for any taper to improve its compactness. Compared with the parabolic shape, the coupling loss of the edge coupler with a length of 460 μm for the TE mode is improved by 0.3 dB on average, this edge coupler provides a feasible solution for fiber-to-chip coupling and is perfectly suitable for wavelength division multiplexing applications in optical communications.

Indexed as

edge couplersubstrate substitutiontaper shapethree-step siliconultrawide bandwidth

Identifiers

PMID36677127
PMCPMC9861178

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.